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This is exactly what we're enabling with our ML Platform (currently in private beta). Such a system needs to be built on top of fast & scalable ML technology with smart & efficient…

Thanks for the comments. (1) We chose to do our original benchmarks against R, Weka and sklearn because these are the tools that the vast majority of people currently use. You'd be…

(1) The speed-up is achieved on a single core (multithreaded). The tiny memory footprint enables us to do embedded learning (e.g., on an ARM chip). We also have a distributed versi…

As textminer says, RFs are really nice in that there are few parameters to tune, and the results typically are not that sensitive to the choice of those parameters (contrasted to, …

Ozten, we completely agree which is why we also provide an on premise version of our Machine Intelligence Engine. Our mission is to democratize ML and allow companies to easily dep…